CN213074650U - Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning - Google Patents

Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning Download PDF

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Publication number
CN213074650U
CN213074650U CN202021924702.6U CN202021924702U CN213074650U CN 213074650 U CN213074650 U CN 213074650U CN 202021924702 U CN202021924702 U CN 202021924702U CN 213074650 U CN213074650 U CN 213074650U
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CN
China
Prior art keywords
safety helmet
helmet
time monitoring
real
workman
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Expired - Fee Related
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CN202021924702.6U
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Chinese (zh)
Inventor
王艺皓
丁洪伟
王丽清
蒙倩霞
杨超
郭嘉
陈静
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Yunnan University YNU
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Yunnan University YNU
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Priority to CN202021924702.6U priority Critical patent/CN213074650U/en
Application granted granted Critical
Publication of CN213074650U publication Critical patent/CN213074650U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Abstract

The utility model discloses a real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study relates to safety helmet control technical field, the novel helmet comprises a cap body, the top of the cap body is provided with the siren, the beneficial effects of the utility model are that: this real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, inner chamber through the cap body is provided with pyroelectric infrared sensor, realize detecting the temperature of human head through utilizing pyroelectric infrared sensor, thereby confirm whether the workman wears the safety helmet, after the workman gets into the job site, take off the safety helmet, pyroelectric infrared sensor can't detect the temperature of workman's head when, the controller through the internal portion of cap sets up gives the siren with information transfer, send out the police dispatch newspaper through utilizing the siren, warn the workman that takes off the safety helmet without permission, remind the workman to wear the safety helmet, the life safety for the workman provides the guarantee.

Description

Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning
Technical Field
The utility model relates to a safety helmet control technical field specifically is a real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study.
Background
The safety helmet is a head protection device for preventing a high-altitude object from colliding with the head when falling, is commonly used in industries which are easy to generate falling objects, such as mining industry, building industry and the like, the safety of workers is directly influenced by the performance of the safety helmet, and when the safety helmet enters a building site or works underground, the workers need to wear the safety helmet to protect the safety of the workers.
The safety helmet structure commonly used at present is too simple, does not possess the function that can detect and remind the staff whether to wear the safety helmet to when the staff takes place danger, can not in time outwards send distress signal and seek the succour, thereby influence staff's best rescue time, be unfavorable for carrying out the rescue to injured person.
SUMMERY OF THE UTILITY MODEL
Not enough to prior art, the utility model provides a real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, has solved the problem of proposing in the above-mentioned background art.
In order to achieve the above purpose, the utility model discloses a following technical scheme realizes: the utility model provides a real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, includes the cap body, the top of the cap body is provided with the siren, the inside of the cap body is equipped with the controller, the top of internal chamber of cap is provided with pyroelectric infrared sensor, one side of the cap body is provided with the brim of a hat, the bottom of the brim of a hat is provided with control switch, the surface of the brim of a hat is provided with orientation module, the both sides of the cap body are provided with the module of talkbacking respectively, the top of the module of talkbacking is provided with signal transmitter, one side of the module of talkbacking is provided with rolling bearing, rolling bearing rotates and is connected with first connecting wire, the other end fixedly connected with microphone of first connecting wire, the bottom fixedly connected with second connecting wire of the module of talkbacking.
Optionally, the surface of the cap body is provided with a solar charging panel, the inside of the cap body is provided with a storage battery, and one side of the cap body is provided with goggles.
Optionally, the inner cavity of the cap body is provided with a damping spring, the other end of the damping spring is fixedly connected with an anti-collision steel plate, the surface of the anti-collision steel plate is fixedly connected with a rubber buffer pad, the surface of the rubber buffer pad is provided with a sponge buffer pad, and a through hole is formed in the surface of the sponge buffer pad.
Optionally, the surface of the intercom module is provided with heat dissipation holes.
Optionally, a rubber cushion is arranged on one side of the headset.
Optionally, the storage battery is electrically connected with the pyroelectric infrared sensor, the controller, the alarm and the talkback module.
The utility model provides a real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, possesses following beneficial effect:
1. this real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, inner chamber through the cap body is provided with pyroelectric infrared sensor, realize detecting the temperature of human head through utilizing pyroelectric infrared sensor, thereby confirm whether the workman wears the safety helmet, after the workman gets into the job site, take off the safety helmet, pyroelectric infrared sensor can't detect the temperature of workman's head, give information transfer for the siren through the controller that the internal portion of cap set up, send out the police dispatch newspaper through utilizing the siren, give an alarm to the workman of taking off the safety helmet without permission, remind the workman to wear the safety helmet, the problem of not possessing the detection, remind the workman to wear the safety helmet is solved, the life safety for the workman provides the guarantee.
2. This real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, be provided with the module of talkbacking through the cap body, when the user runs into emergency and needs the salvage, open the control switch of the module of talkbacking, can inform other people fast through utilizing the module of talkbacking and provide help, and through being provided with signal transmitter and orientation module, utilize signal transmitter and orientation module can fix a position staff's position fast, effectual staff carries out the rescue, avoid can not in time rescue the staff, thereby influence staff's rescue time.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is an external view of the structure of the present invention;
fig. 3 is an enlarged schematic view of a position a in the structure diagram 1 of the present invention.
In the figure: 1. a cap body; 2. a solar charging panel; 3. an alarm; 4. a storage battery; 5. a controller; 6. A pyroelectric infrared sensor; 7. a damping spring; 8. an anti-collision steel plate; 9. a rubber cushion pad; 10. a sponge cushion pad; 11. a brim; 12. a control switch; 13. an intercom module; 14. a signal transmitter; 15. Heat dissipation holes; 16. a rotating bearing; 17. a first connecting line; 18. a microphone; 19. a second connecting line; 20. a headset; 21. a rubber cushion; 22. goggles; 23. and a positioning module.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
Referring to fig. 1 to 3, the present invention provides a technical solution: a real-time monitoring device for safety helmet wearing in natural scene based on deep learning comprises a cap body 1, wherein an alarm 3 is arranged at the top of the cap body 1, the alarm 3 is used for giving an alarm to warn workers who take off the safety helmet without permission to wear the safety helmet, the problem that the workers cannot detect and are reminded of wearing the safety helmet is solved, the life safety of the workers is guaranteed, a controller 5 is arranged inside the cap body 1, a pyroelectric infrared sensor 6 is arranged at the top of an inner cavity of the cap body 1, the temperature of the head of a human body is detected by the pyroelectric infrared sensor 6, so that whether the workers wear the safety helmet or not is determined, a brim 11 is arranged on one side of the cap body 1, a control switch 12 is arranged at the bottom of the brim 11, a positioning module 23 is arranged on the surface of the brim 11, the position of the workers can be quickly positioned, and the workers can be effectively rescued, avoid can not in time salvage the staff, thereby influence staff's treatment time, the both sides of the cap body 1 are provided with talkback module 13 respectively, be provided with talkback module 13 through the cap body 1, when the user runs into emergency and needs the succour, open talkback module 13's control switch 12, can inform other people fast through utilizing talkback module 13 and provide help, talkback module 13's top is provided with signal transmitter 14, one side of talkback module 13 is provided with rolling bearing 16, rolling bearing 16 rotates and is connected with first connecting wire 17, the other end fixedly connected with microphone 18 of first connecting wire 17, talkback module 13's bottom fixedly connected with second connecting wire 19, the other end fixed mounting of second connecting wire 19 has headset 20.
Wherein, the surface of the cap body 1 is provided with the solar charging panel 2, is convenient for charge battery 4, the effectual inconvenient problem of charging outdoors of having avoided, the inside of the cap body 1 is provided with battery 4, one side of the cap body 1 is provided with goggles 22, be favorable to the workman to carry out the during operation, has played effectual guard action to eyes, avoids leading to the unable condition of opening of eyes because of the raise dust to influence work, played important effect to the protection of eyes.
Wherein, the inner chamber of the cap body 1 is provided with damping spring 7, damping spring 7's other end fixedly connected with anticollision steel sheet 8, anticollision steel sheet 8's fixed surface is connected with rubber buffer pad 9, rubber buffer pad 9's surface is provided with sponge buffer pad 10, when the accident takes place, through being provided with multilayer protective structure, the crushing resistance of safety helmet has been increased, the injury that receives when having reduced the staff and taking place the accident, the through hole has been seted up on the surface of sponge buffer pad 10, play ventilation's effect.
Wherein, the surface of the intercom module 13 is provided with a heat dissipation hole 15, which plays a role in ventilation and heat dissipation.
Wherein, one side of headset 20 is provided with rubber cushion 21, has increased the comfort level when wearing, and the effectual tired degree that reduces to wear the helmet for a long time.
The storage battery 4 is electrically connected with the pyroelectric infrared sensor 6, the controller 5, the alarm 3 and the talkback module 13.
In conclusion, when the real-time monitoring equipment worn on the safety helmet in the natural scene based on deep learning is used, firstly, after a worker wears the safety helmet, the pyroelectric infrared sensor 6 is in direct contact with the head of the worker, when the worker enters a construction site and takes off the safety helmet, the pyroelectric infrared sensor 6 cannot detect the temperature of the head of the worker, the pyroelectric infrared sensor 6 sends information to the controller 5, the controller 5 transmits the information to the alarm 3, the worker who is unauthorized to take off the safety helmet is warned to remind the worker to wear the safety helmet, when the worker has an accident, the control switch 12 of the talkback module 13 is opened, the talkback module 13 is used for communicating with other people, the signal emitter 14 is used for transmitting the information to other people, the occurrence situation is rapidly informed to other people, and then the positioning module 23 is used for rapidly positioning the specific position of the worker, finally, workers who have accidents are convenient to rescue.
The above, only be the concrete implementation of the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is in the technical scope of the present invention, according to the technical solution of the present invention and the utility model, the concept of which is equivalent to replace or change, should be covered within the protection scope of the present invention.

Claims (6)

1. The utility model provides a real-time monitoring equipment is worn to safety helmet under natural scene based on degree of depth study, includes the cap body (1), its characterized in that: the helmet is characterized in that an alarm (3) is arranged at the top of the helmet body (1), a controller (5) is arranged inside the helmet body (1), a pyroelectric infrared sensor (6) is arranged at the top of an inner cavity of the helmet body (1), a brim (11) is arranged on one side of the helmet body (1), a control switch (12) is arranged at the bottom of the brim (11), a positioning module (23) is arranged on the surface of the brim (11), talkback modules (13) are respectively arranged on two sides of the helmet body (1), a signal transmitter (14) is arranged at the top of the talkback module (13), a rotating bearing (16) is arranged on one side of the talkback module (13), a first connecting wire (17) is rotatably connected to the rotating bearing (16), a microphone (18) is fixedly connected to the other end of the first connecting wire (17), and a second connecting wire (19) is fixedly connected to the bottom of the talkback module (, and the other end of the second connecting wire (19) is fixedly provided with an earphone (20).
2. The safety helmet wearing real-time monitoring device based on deep learning in natural scenes is characterized in that: the solar energy helmet is characterized in that a solar charging panel (2) is arranged on the surface of the helmet body (1), a storage battery (4) is arranged inside the helmet body (1), and goggles (22) are arranged on one side of the helmet body (1).
3. The safety helmet wearing real-time monitoring device based on deep learning in natural scenes is characterized in that: the inner chamber of the cap body (1) is provided with a damping spring (7), the other end fixedly connected with anticollision steel sheet (8) of damping spring (7), the fixed surface of anticollision steel sheet (8) is connected with rubber buffer pad (9), the surface of rubber buffer pad (9) is provided with sponge buffer pad (10), the through hole has been seted up on the surface of sponge buffer pad (10).
4. The safety helmet wearing real-time monitoring device based on deep learning in natural scenes is characterized in that: the surface of the talkback module (13) is provided with heat dissipation holes (15).
5. The safety helmet wearing real-time monitoring device based on deep learning in natural scenes is characterized in that: one side of the headset (20) is provided with a rubber cushion (21).
6. The safety helmet wearing real-time monitoring device based on deep learning in natural scenes is characterized in that: the storage battery (4) is electrically connected with the pyroelectric infrared sensor (6), the controller (5), the alarm (3) and the talkback module (13).
CN202021924702.6U 2020-09-04 2020-09-04 Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning Expired - Fee Related CN213074650U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202021924702.6U CN213074650U (en) 2020-09-04 2020-09-04 Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202021924702.6U CN213074650U (en) 2020-09-04 2020-09-04 Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning

Publications (1)

Publication Number Publication Date
CN213074650U true CN213074650U (en) 2021-04-30

Family

ID=75634174

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202021924702.6U Expired - Fee Related CN213074650U (en) 2020-09-04 2020-09-04 Real-time monitoring equipment for safety helmet wearing in natural scene based on deep learning

Country Status (1)

Country Link
CN (1) CN213074650U (en)

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CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20210430

Termination date: 20210904